[HTML][HTML] Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications

SK Baduge, S Thilakarathna, JS Perera… - Automation in …, 2022 - Elsevier
This article presents a state-of-the-art review of the applications of Artificial Intelligence (AI),
Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in …

Towards big data driven construction industry

F Li, Y Laili, X Chen, Y Lou, C Wang, H Yang… - Journal of Industrial …, 2023 - Elsevier
The construction industry is currently going through an intelligent revolution. The profound
transformation of the Industry 4.0 era is made possible by contemporary technologies such …

Big Data in the construction industry: A review of present status, opportunities, and future trends

M Bilal, LO Oyedele, J Qadir, K Munir, SO Ajayi… - Advanced engineering …, 2016 - Elsevier
The ability to process large amounts of data and to extract useful insights from data has
revolutionised society. This phenomenon—dubbed as Big Data—has applications for a wide …

Data mining in the construction industry: Present status, opportunities, and future trends

H Yan, N Yang, Y Peng, Y Ren - Automation in Construction, 2020 - Elsevier
The construction industry is experiencing remarkable growth in the data generation. Data
mining (DM) from considerable amount of data in the construction industry has emerged as …

Safety leading indicators for construction sites: A machine learning approach

CQX Poh, CU Ubeynarayana, YM Goh - Automation in construction, 2018 - Elsevier
The construction industry is one of the most dangerous industries in many countries. To
improve the situation, senior managers overseeing portfolios of construction projects need to …

Application of machine learning to construction injury prediction

AJP Tixier, MR Hallowell, B Rajagopalan… - Automation in …, 2016 - Elsevier
The needs to ground construction safety-related decisions under uncertainty on knowledge
extracted from objective, empirical data are pressing. Although construction research has …

Systems thinking in innovation project management: A match that works

M Kapsali - International journal of project management, 2011 - Elsevier
This paper discusses why conventional project management practices lead to the failure of
publicly funded innovation deployment projects, and investigates how the use of systems …

AI-based prediction of independent construction safety outcomes from universal attributes

H Baker, MR Hallowell, AJP Tixier - Automation in Construction, 2020 - Elsevier
This paper significantly improves on, and finishes to validate, an approach proposed in
previous research in which safety outcomes were predicted from attributes with machine …

Visualization, information modeling, and simulation: Grand challenges in the construction industry

F Leite, Y Cho, AH Behzadan, SH Lee… - Journal of Computing …, 2016 - ascelibrary.org
With the rapid advancement of sensing and computing technology and the wide adoption of
mobile computing, the construction industry has faced a rise in the amount of information …

Predicting construction cost overruns using text mining, numerical data and ensemble classifiers

TP Williams, J Gong - Automation in Construction, 2014 - Elsevier
This paper discusses how text describing a construction project can be combined with
numerical data to produce a prediction of the level of cost overrun using data mining …